"Integrate and Optimize AI Services Seamlessly" is an applied, intermediate-level course designed for engineers and ML practitioners who want to build reliable, production-ready AI systems. Across focused, hands-on lessons, the course explores how real-world services communicate using APIs, message queues, and structured serialization formats. Learners gain practical experience integrating prediction services with gRPC and protobuf, improving consistency, performance, and cross-language compatibility. The course also guides participants through deployment health essentials, including interpreting Prometheus metrics, spotting early warning signs during canary releases, and making safe decisions to stabilize or roll back new versions. Through real scenarios, interactive activities, and expert-led demos, students develop the confidence to ship AI services that are fast, resilient, and operationally sound in modern distributed environments.
Integrate and Optimize AI Services Seamlessly" is an applied, intermediate-level course designed for engineers and ML practitioners who want to build reliable, production-ready AI systems. Across focused, hands-on lessons, the course explores how real-world services communicate using APIs, message queues, and structured serialization formats. Learners gain practical experience integrating prediction services with gRPC and protobuf, improving consistency, performance, and cross-language compatibility. The course also guides participants through deployment health essentials, including interpreting Prometheus metrics, spotting early warning signs during canary releases, and making safe decisions to stabilize or roll back new versions. Through real scenarios, interactive activities, and expert-led demos, students develop the confidence to ship AI services that are fast, resilient, and operationally sound in modern distributed environments.
涵盖的内容
7个视频2篇阅读材料4个作业
显示有关单元内容的信息
7个视频•总计36分钟
Where AI Systems Break: Integration First•5分钟
How gRPC and Protobuf Reduce Latency and Errors•6分钟
Integrating an AI Prediction Service: Choosing the Right Interface•3分钟
Why Deployment Health Is Your Real Safety Net?•6分钟
Canary Releases: Roll Forward, Stabilize, or Roll Back?•6分钟
Demo: Reading Prometheus Dashboards During a Canary•5分钟
Congratulations and Continuous Learning•4分钟
2篇阅读材料•总计20分钟
APIs, Queues, and Serialization: The Core Integration Toolkit•10分钟
Understanding Latency Percentiles in Production Systems•10分钟
4个作业•总计59分钟
Final Assessment: Integrating and Optimizing AI Services in Production•20分钟
Quiz: Mapping Integration Choices to System Requirements•15分钟
HOL: Designing an Integration Plan for an AI Prediction Service•12分钟
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